Results 21 to 30 of about 1,303 (127)
Beta Upper Confidence Bound Policy for the Design of Clinical Trials
Austrian Journal of Statistics, 2023 The multi-armed bandit problem is a classic example of the exploration-exploitation trade-off well suited to model sequential resource allocation under uncertainty.
Andrii Dzhoha, Iryna Rozora
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The Perils of Misspecified Priors and Optional Stopping in Multi-Armed Bandits
Frontiers in Artificial Intelligence, 2021 The connection between optimal stopping times of American Options and multi-armed bandits is the subject of active research. This article investigates the effects of optional stopping in a particular class of multi-armed bandit experiments, which ...
Markus Loecher
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IET Energy Systems Integration, 2021 In systems with high penetration of renewables, demand side resources have been aggregated to facilitate system operation. However, the natural uncertainty and randomness of users' behaviour may deteriorate the demand aggregation performance, including a
Qinran Hu +5 more
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A Review of Multi-Armed Bandit Algorithms in Player Modeling and Game Design [PDF]
ITM Web of ConferencesThis paper explores the application of multi-armed bandit algorithms (MAB) in game design, focusing on player modeling and game optimization. The effectiveness of multi-armed bandit algorithms in modeling player characteristics such as skill level, play ...
Zhan Xizhi
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A multi-armed bandit approach for exploring partially observed networks
Applied Network Science, 2019 Background real-world networks such as social and communication networks are too large to be observed entirely. Such networks are often partially observed such that network size, network topology, and nodes of the original network are unknown.
Kaushalya Madhawa, Tsuyoshi Murata
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Journal of Modern Power Systems and Clean Energy, 2020 As the penetration of renewable energy continues to increase, stochastic and intermittent generation resources gradually replace the conventional generators, bringing significant challenges in stabilizing power system frequency.
Xinyi Chen +5 more
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Performance of Multi-Armed Bandit Algorithms in Dynamic vs. Static Environments: A Comparative Analysis [PDF]
ITM Web of ConferencesThis paper conducts a comparative analysis of Multi-Armed Bandit (MAB) algorithms, particularly the Upper Confidence Bound (UCB) and Thompson Sampling (TS) algorithms, and focuses on the performance of these algorithms in both static and dynamic ...
Zhao Boxi
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Genetic Algorithm Based on Multi-armed Bandit for Drone-Truck Collaborative Delivery [PDF]
Jisuanji kexue yu tansuoThe new mode of drone-truck collaborative delivery is changing the traditional logistics distribution mode with its advantages of high efficiency, environmental protection, and no terrain restrictions. The traveling salesman problem with drone (TSP-D) is
ZHU Yena, LIU Min, ZHAO Yijiang, CHEN Xuanlin
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IEEE Access, 2021 Computer experiments are widely used to mimic expensive physical processes as black-box functions. A typical challenge of expensive computer experiments is to find the set of inputs that produce the desired response.
Rajitha Meka +5 more
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Multi-Armed Bandits and Quantum Channel Oracles [PDF]
QuantumMulti-armed bandits are one of the theoretical pillars of reinforcement learning. Recently, the investigation of quantum algorithms for multi-armed bandit problems was started, and it was found that a quadratic speed-up (in query complexity) is possible ...
Simon Buchholz +2 more
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